1. Introduction
Currently, nanocomposites in which nanofillers such as graphene platelets (GPLs) or carbon nanotubes (CNTs) are reinforced have been attracting much attention [
1,
2]. These nanofillers exhibit excellent physical, chemical, and electrical properties so that their introduction can dramatically improve the performances of conventional composites. It was reported that the structural strength of polymeric composites is greatly increased when only a tiny amount of nanofillers are reinforced [
3]. In terms of application, the nanocomposites are manufactured in the form of beams, plates, and shells, and their basic mechanical behaviors such as static deflection, free vibration, and buckling have been intensively and continuously investigated [
4,
5,
6]. This is because the quantitative investigation of their mechanical responses is needed for their practical design in the specific configuration under consideration, even though the superiority of material grapheme has been qualitatively well-known. The mechanical behaviors of these nanocomposites are strongly affected by the distribution patterns of nanofillers, particularly through the thickness of the composite structures. So, several purposeful thickness-wise distribution patterns have been proposed according to the notion of functionally graded material (FGM), which was introduced in the late 1990s to overcome bi-material-type heat-proof composites [
7,
8,
9,
10]. The representative functional distributions are FG-U, FG-O, FG-X, and FG-∧, and the nanocomposite structures with these functional distributions of nanofillers are called FG-GPLRC and FG-CNTRC structures.
Besides the functional distribution of nanofillers, the mechanical behaviors of functional nanocomposite structures are affected by the porosity distribution. This is because the difference in the solidification temperatures of a matrix and a filler during fabrication produces porosities [
11,
12], and both the stiffness and mass of composite structure are remarkably influenced by the amount and distribution pattern of porosity. In this context, recently, porosity has been widely taken into consideration in the parametric investigation of the mechanical behaviors of functional nanocomposites with respect to the porosity coefficient and distribution [
13,
14,
15]. Moreover, the combination of nanofiller and porosity distribution patterns leads to more diverse mechanical behaviors of functional nanocomposites because both distribution patterns are usually not the same as one another. Due to their excellent material properties and the low density, functionally graded porous nanocomposites have been attracting much attention for high-strength, lightweight structures [
16].
Carbon nanotubes are cylindrical in form so their production costs are relatively higher than that of graphene platelets. In addition, their material properties are not isotropic but orthotropic, with a higher elastic modulus in the direction of CNT alignment. Thus, the mechanical responses of FG-CNTRC structures are sensitive to the CNT alignment direction such that those in the two off-alignment directions are worse than those of FG-GPLRC structures [
17,
18,
19]. On the other hand, FG-GPLRC structures are usually modeled as isotropic materials according to the micromechanical homogenization approach [
20]. For this reason, together with their relatively low production costs, FG-GPLRC structures nowadays are attracting more attention [
18]. Meanwhile, the studies on FG-GPLRC have been based on those of FG-CNTRC because GPLs received attention somewhat later than CNTs. As well, studies on the fundamental mechanical responses of FG-GPLRC structures have mostly included geometry nonlinearity in the displacement field according to the increase in interest on large deflection bending and large amplitude vibration.
Regarding studies on the nonlinear free vibration of GPL-reinforced structures, Feng et al. [
21] studied the nonlinear free vibration of a multi-layer polymer composite beam reinforced with non-uniformly distributed GPLs through the thickness by applying Hamilton’s principle and the von Kármán nonlinearity to Timoshenko beam theory. Zhang et al. [
22] numerically examined the nonlinear vibration of graphene sheets by applying the element-free kp-Ritz method to the nonlocal elasticity theory, which accounts for the size effect. Gao et al. [
23] numerically examined the influence of GPL and porosity distributions on the nonlinear natural vibration of FG-GPLRC porous plates supported by the elastic foundations by applying the differential quadrature method (DQM). Shen et al. [
24] investigated the temperature-dependent large amplitude vibration of GPLRC-laminated cylindrical panels resting on an elastic foundation using a two-step perturbation technique. Kiani [
25] proposed a nonlinear formulation for the nonlinear natural vibration of GPLRC-laminated plates using a non-uniform rational B-spline (NURBS)-based isogeometric finite element method. Teng and Wang [
26] analytically investigated the influence of porosity coefficient and the foam skeleton distribution on the nonlinear free vibration of graphene-reinforced plates by applying Hamilton’s principle to the von Kármán nonlinear plate theory. Song et al. [
27] numerically and parametrically investigated the temperature-dependent nonlinear free vibration characteristics of the cracked FG-GPLRC beams resting on an elastic foundation using the DQM. Tao and Dai [
28] analyzed the size-dependent nonlinear free vibration of FG-GPLRC annular sector microplates by applying the isogeometric analysis to a four-variable higher-order SDT. Javani et al. [
29] investigated the nonlinear natural vibration of an FG-GPLRC circular plate on the nonlinear elastic foundation using the generalized DQM. Wang and Chen [
30] numerically investigated the nonlinear natural vibration of an FG-GPLRC titanium alloy trapezoid plate using the Rayleigh–Ritz method and the direct iterative process.
As can be found from the literature survey, previous studies on the nonlinear free vibration of FG-GLRC structures were mostly limited to beams and plates and furthermore assumed that the structures are perfect without any cracks. However, the structural elements used in real applications have various forms such as cylindrical and conical shells, and various abnormal loading conditions such as thermal shock may induce micro-cracking [
31] within GPL-reinforced nanocomposite structures. These undesired cracks damage the surrounding region such that the whole structural strength becomes significantly weakened, implying that the consideration of a crack is essential in structural analyses and designs. Meanwhile, the consideration of a crack in a mesh- or grid-based numerical analysis may frequently suffer from the painstaking crack modeling job [
32,
33,
34]. Furthermore, the crack modeling deteriorates the mesh uniformity, which may induce numerical instability and even numerical failure.
In this situation, this study aims to determine the large amplitude natural vibration of a porous FG-GPLRC cylindrical panel with a central inclined crack. To avoid the above-mentioned problems in crack meshing, the phase field formulation (PFF) [
35,
36] is adopted and a virtual geometry rotation is introduced into the framework of 2-D extended NEM [
19,
37]. In other words, the nodes sitting on the crack lines are not separated and the region at the crack-tip in the grid is not centrally refined. Instead, the crack line is represented by the phase field and its virtual rotation to the NEM grid line, and the crack-induced singularity is enhanced by the near-tip singular functions [
38]. The large displacement field is expressed by the first-order SDT incorporated with the von Kármán geometry nonlinearity. The painstaking definition and manipulation of high-smooth Laplace interpolation (L/I) functions in NEM is relaxed by mapping the cylindrical neutral surface to a rectangular plane. And, the troublesome numerical locking [
39,
40] is restrained by adopting the MITC3+ shell concept and the shear stabilization factor. In the MITC3+ shell concept, the transverse shear strains are re-interpolated at six tying points within a three-node triangular shell element to suppress shear locking [
41]. The developed nonlinear vibration method is justified through the comparison with the reference solutions. And, the nonlinear natural vibration characteristics of porous FG-GPLRC cylindrical panels are profoundly investigated by changing the major parameters of GPLs and porosity and by combining the GPL and porosity distributions. Furthermore, a comparison with FG-CNTRC cylindrical panels is also presented.
2. Functionally Graded Porous GPLRC Cylindrical Panel
Figure 1a represents a cylindrical panel in which GPLs are distributed with a specific distribution pattern through the thickness. Cartesian coordinates
are introduced on the corner of the neutral surface
of the panel with the
-axis along the cylinder axis and the
-axis through the thickness. The radial distance between the neutral surface and the mid-surface is denoted by
[
42]. The geometry of cylindrical panel is characterized by length
, radius
, sub-tended angle
, and uniform thickness
. Then, the material domain
can be expressed by
. Four thickness-wise functional distribution patterns of GPLs are depicted in
Figure 1b—FG-U, FG-O, FG-X, and FG-Λ—where the GPLs are uniform in FG-U, biased towards the neutral surface in FG-O, concentrated in the top and bottom regions in FG-X, and biased towards the bottom in FG-Λ. In addition, pores and a central crack are included within the panel, as will be described below.
The thickness-wise volume fractions of the GPLs and the underlying matrix are denoted by
and
. Then, either one is enough to identify both volume fractions as two volume fractions satisfy the physical constraint given by
The GPL volume fraction
is chosen in this study and its mathematical expression becomes
depending on the GPL distribution pattern, where the total GPL volume fraction
is calculated by
using the GPL mass fraction
, and the two densities
and
of the GPL and matrix material.
Figure 1.
A cylindrical panel reinforced with graphene platelets: (a) geometry and dimensions, and (b) GPL distribution patterns.
Figure 1.
A cylindrical panel reinforced with graphene platelets: (a) geometry and dimensions, and (b) GPL distribution patterns.
GPLs are modeled as a rectangular solid with length
, width
, and thickness
, and their distribution is assumed to be uniform within the underlying matrix in
the local sense. So, the graphene-reinforced composites are usually considered isotropic and their effective Young’s modulus
is evaluated using the Halphin-Tsai approach [
20]:
with
in which
and
are the elastic moduli of GPLs and matrix material, and the relative geometry ratios
and
are defined by
In a similar manner, the effective values of mass density
and Poisson’s ratio
of GPLRC are determined by
using the simplest linear rule of mixture.
The porosity within GPLRC is generally characterized by size, shape, orientation, and dispersion structure of pores. In this study, the former three factors are assumed to be uniform in space, but only the relative volume of pore and the dispersion structure are considered for the parametric investigation of pores.
Figure 2 shows three different porosity distributions considered in this study, center-biased (PD_1), outer-biased (PD_2), and uniform (PD_3), which are expressed as
where
denotes the porosity coefficient, which is related to the relative volumes of pores within GPLRC.
The porosity affects the effective material properties of GPLRC so that the above elastic modulus
, shear modulus
, and mass density
should be corrected. Denoting the effective material properties before and after modification by
and
, the modification is made through
except for the mass density. For the effective mass density, the porosity coefficient
should be corrected using the relationship given by
between the mass density and elastic property [
43]. Then, the corrected porosity coefficient
for the mass density is determined by
for porosity distribution PD_1, for example.
Figure 3 represents a central crack within a cylindrical panel, which is characterized by the inclination angle
and the length
. The crack center coincides with the center of the cylindrical panel, and these two parameters are taken as variables for the parametric experiment. The polar coordinates are added to two crack tips in order to express the singular functions the are needed to capture the singularity at the crack tips. The existence of a crack can be determined by either creating a crack line or employing the phase field concept [
35] without creating a crack line. The former is usually implemented by separating the nodes sitting on the crack line in FEM or NEM grids [
2]. But, the node separation in the former approach not only is painstaking but also produces a non-uniform distorted grid, which may deteriorate the numerical accuracy or even lead to numerical failure. This difficulty becomes more severe in the crack propagation simulation for which tedious crack tracking is essential [
35].
On the other hand, the latter approach employs an additional state variable called phase field
(
). The value of
indicates the damage state at point
within the structure such that
indicates fully damaged while
denotes completely undamaged. This method does not need the painstaking crack mesh generation, which can significantly reduce the troublesome mesh adaptation job in crack propagation simulation to track the crack. In addition, there is no need to assume material homogeneity and isotropy regions away from the crack. Thus, there exist no limitations in the material type for the phase field formulation. But, it needs an extra approximation of the phase field to represent the existence of a crack within the material domain. The crack line is modeled by connecting the points with
, and the transition region [
35] between the fully damage crack line and the completely undamaged region has the value of
. The size of the transient region is denoted by the length scale [
44,
45], which is controlled by the grid density near the crack line when the phase field is approximated using the same grid constructed for the displacement field approximation.
According to this concept, the total strain energy
and the total kinetic energy
of cracked structure are expressed as
where
and
denote the total strain and total kinetic energies when the structure is completely undamaged.
Figure 3.
A central crack and phase field within a cylindrical panel.
Figure 3.
A central crack and phase field within a cylindrical panel.
Letting
be the displacement vector, the displacement field
of FG-GPLRC cylindrical panel is expressed as
according to the FSDT. The large defection of a cylindrical panel is represented by the von Kármán nonlinearity, which leads to the strain-displacement relations given by
with
,
, and
, where
, and
denote the
and
partial derivative matrices defined by
with
and
. Here,
and
are the deflection derivatives of a panel, which are assumed to be known a priori, as described later. Then, the strain–stress constitutive relations become
with
and
.
3. NE Approximation of Nonlinear Natural Vibration Using Phase-Field Crack Model
Referring to
Figure 4, the panel neutral surface
is uniformly divided into a finite number of three-node Delaunay triangles. As mentioned above, the crack line is modeled using the phase field
and the crack-induced singular field is represented by adding the crack-tip singular functions without refining the local NEM grid in the vicinity of crack tip. Thus, in an extended NEM, the displacement
is approximated as
using the L/I functions
[
46,
47] and the crack-tip singular functions
and
[
38].
The singular functions are defined using two distinct crack-tip polar coordinates
, as depicted in
Figure 3. Here,
are the non-singular nodal displacement vectors at node
within the NEM grid
generated with
nodes and
Delaunay triangles. And,
indicates the singular vector corresponding to the k-th singular function.
The derivation and manipulation of L/I functions on the curved cylindrical surfaces are troublesome, so the physical NEM grid
on the panel neutral surface is transformed into 2-D rectangular NEM grid
for the computation. Then, according to the geometry transformation
and the chain rule summarized in
Appendix A, the enriched NE approximation of the bending-membrane strain
in Equation (18) and the transverse shear (T/S) strain
in Equation (19) ends up with
with
. Here,
is computed on the 2-D rectangular NEM grid while
is computed directly on the panel neutral surface (Similarly for
and
).
Figure 4.
A geometry transformation between the curved and planar NEM grids and L/I functions defined on a 2-D rectangular plane.
Figure 4.
A geometry transformation between the curved and planar NEM grids and L/I functions defined on a 2-D rectangular plane.
Note that the first term on the right-hand side in Equation (29), which is approximated with
-L/I functions
, may suffer from numerical locking when the deformation is bending-dominated [
39,
40]. This problem can be effectively suppressed by indirectly interpolating this non-singular term of T/S strain according to the MITC3+ shell approach [
41], as addressed in
Appendix B. The analytical calculation of Equations (A5) and (A6) in
Appendix B using Equations (19) and (22), together with the chain rule between two coordinates
and
in
Figure 4, results in
Here, is the triangle-wise matrices in function of , and , and are the non-singular triangle-wise nodal vectors.
Next, the nonlinear vibration of the FG-GPLRC cylindrical panel is governed by the dynamic form of the energy principle given by
In accordance with the phase field concept, the virtual strain energy
and the virtual kinetic energy
of cracked cylindrical panel are defined by
where
denotes the radial distance of the neutral surface from the panel mid-surface and
is a
symmetric matrix given by
with
and the identity matrix
.
Figure 5 represents a NEM grid composed of Delaunay triangles and grid points, which will be described later in detail. In the present study, the phase field
introduced in
Figure 4 is approximated using L/I functions defined on the NEM grid. So, the crack line in red may not have lied on the vertical, inclined, or horizontal lines within the NEM grid, as depicted in
Figure 5. In such a situation, an additional numerical technique is needed to effectively approximate the phase field. In this study, the crack coordinates
including the crack line transforms the virtual phase field coordinates
such that the crack line lies on the inclined line within the NEM grid.
with
.
Next, substituting Equations (32) and (33) into Equation (31) through the constitutive relations (23) and (24), under the assumption harmonic motion
, one obtains the nonlinear modal equation given by
where
and
denote the nonlinear natural frequencies and natural modes, and two linear and one nonlinear stiffness matrix and the mass matrix are calculated as
where
,
and
with
and
. Meanwhile,
is the modified shear modulus matrix defined by
with the largest side length
of the Delaunay triangle. And,
is a shear stabilization parameter, which was determined through a preliminary experiment, as addressed in the next section.
The nonlinear modal Equation (37) was solved using the three-step direct iterative method [
48]. At step 1, the linear natural frequencies and natural modes were computed by excluding
from Equation (37). At step 2, the computed target natural mode
Was scaled up using the desired amplitude–thickness ratio
, and then, the values of
and
in Equations (18) and (19) were calculated and the nonlinear stiffness matrix
Was constructed. At step 3, the nonlinear natural frequencies and natural modes were computed. Steps 2 and 3 were repeated until the relative difference between the nonlinear natural frequencies computed at two consecutive iterations was less than 0.1%.
4. Numerical Results
The nonlinear free vibration formulae given in
Section 3 for cracked porous cylindrical panels using the phase field theory and the crack rotation concept were coded in the framework of 2-D XNEM [
19]. All the stiffness and mass matrices given in Equations (38)–(41) were numerically integrated using 7 Gauss integration points. First, the sensitivity of the present method to the density of 2-D NEM grid was investigated using a clamped intact (i.e., without an internal crack) aluminum cylindrical panel with the geometry dimensions of
. In this study, two kinds of boundary conditions, simply supported (S) and clamped (C), were used, and which were implemented as
at
or
. The component
in Equation (44) was excluded when the clamped condition was specified for the side with
or
. The isotropic material properties were
and
, and the first natural frequency was calibrated as
with the flexural rigidity
. The non-dimensional first frequencies
were computed and are presented in
Table 1, where
indicates the relative percentage difference with respect to the fundamental frequency computed with a grid density of
. It was found that the relative difference uniformly decreases in proportion to the grid density such that it becomes less than 3.0% when the grid density goes up to
. So, according to this convergence result, the grid density was set to
for the whole numerical experiment in this paper.
Next, the accuracy of the present method was verified by comparing it with the phase field formulation of Torabi and Ansari [
36]. A metal–ceramic functionally graded cylindrical panel with an internal crack, shown in
Figure 3, is taken. The geometric dimensions and the boundary condition are the same as those from the above convergence test problem, and also, the previous aluminum is taken for the metal while alumina with
and
is chosen for the ceramic. The power-law function of
is adopted to identify the thickness-wise volume fractions of the ceramic and also the metal using the relation
. The relative crack length
is set at 0.3, while the crack angle and the ceramic power-law index are taken as variables. By comparing with the reference solutions, the shear stabilization factor
in Equation (42) was set at
to reflect the influence of crack angle on the stiffness matrix
in Equation (38). The phase field
in the mass matrix
in Equation (41) was set to 0 in order to prevent the over-reduction of mass due to an internal crack in the coarse NEM grid. The comparison in
Table 2 reveals that the present results show good agreement with the reference solutions, with the maximum relative difference equal to 4.838%. Except for the case of
, all the present results lead to the relative differences being less than 1.0%. Meanwhile, the fundamental frequency uniformly decreases proportional to the ceramic power-law index
because the relative region occupied by a stiffer ceramic reduces in proportion to the value of
. It is found that the first frequency uniformly increases with increasing crack inclination angle because the reduction in the circumferential stiffness of a panel shows that the circumferentially dominated free vibration becomes smaller as the crack inclination angle increases.
Figure 6a,b comparatively represent the effect of crack inclination angle on the second natural modes for
and 0.6, respectively, when the ceramic power-law index
is 0. The reason for showing the second mode is because the fundamental mode does not produce any apparent change with respect to the crack angle. It is seen that the mode shape becomes separated from the left and right as
goes to zero, while it becomes similar to the non-separated single plate vibration mode as
increases.
The present method is also verified through two nonlinear free vibration analyses. One is an isotropic intact cylindrical panel under the simply-supported boundary condition with the geometry and material data given by
, and
. The nonlinear-to-linear frequencies
were computed for six different values of amplitude–thickness ratio
, and the frequency–amplitude plot is compared in
Figure 7a. The reference solution by Shin [
49] was solved by applying the fourth-order Runge–Kutta method to the FSDT. Meanwhile, the other reference solution by Shen and Xiang [
50] was analytically solved by applying a two-step perturbation method to the HSDT. The von Kármán-type geometric nonlinearity was adopted to both solutions, as for the present study. One can clearly see that the three methods are in excellent agreement such that the maximum relative difference in
between the present method and that of Shin [
49] is 1.149% at
.
The other nonlinear example is an intact porous isotropic cylindrical panel with the geometric and material data given by
,
, and
. The porosity distribution is PD_1 shown in
Figure 2 with the porosity coefficient
, and the four sides of panel are clamped. The computed frequency–amplitude plot is compared with those of Keleshteri and Jelovica [
51] in
Figure 7b, where two reference solutions were numerically obtained by applying the generalized DQM to FSDT and HSDT. The comparison reveals that the plot of the present method is positioned between HSDT and FSDT, but it is closer to FSDT because the present method is based on FSDT.
Next, the sensitivity of the present phase-field crack model to the grid density was examined using the isotropic cylindrical panel taken from
Table 1 in which an inclined central crack is included. The relative length
and the inclination angle
of a crack were chosen as 0.7 and
°. The non-dimensional first frequency
and its linear-nonlinear ratio
at
were computed for five grid densities and recorded in
Table 3. It is clearly observed that the relative difference of
uniformly decreases proportional to the grid density. Also, the relative fluctuation in
becomes smaller in proportion to the grid density.
The present method was also applied to non-porous FG-GPLRC cylindrical panels with a central crack to examine the influence of crack angle and length, and GPL distribution pattern on the fundamental frequency. The geometric dimensions and the aluminum material properties are the same as those of the first example given in
Table 1, where the first frequencies are calibrated as
. Meanwhile, the geometric dimensions and the material properties of GPLs are as follows:
, and
, respectively. It is observed from
Table 4 that the non-dimensional fundamental frequency decreases proportionally to the crack length because the panel stiffness decreases as the crack length increases. Meanwhile, regarding the GPL distribution pattern, FG-X leads to the highest level while FG-O shows the lowest level. This relative order among the GPL distribution patterns is attributed to the fact that the panel stiffness becomes higher as GPLs become biased towards the top and bottom of the panel; see
Figure 1b.
Next, the nonlinear natural vibration of the clamped FG-GPLRC cylindrical panel with a central crack was profoundly examined by changing the major parameters.
Figure 8a represents the effect of crack inclination angle on the variation in nonlinear-to-linear frequency ratio
to the amplitude–thickness ratio
. The mass fraction
and distribution pattern of GPLs are 0.4% and FG-U, and the relative crack length
is set at 0.3. It is seen that the frequency ratio
becomes uniformly smaller in proportion to the crack inclination angle, but the decrease trend becomes smaller proportional to the crack angle. Thus, this trend reveals that the nonlinearity in free vibration decreases with increasing crack inclination angle.
Figure 8b represents the effect of crack relative length on the nonlinear natural vibration of the FG-U GPLRC cylindrical panel when the crack inclination angle
is zero. It is seen that the frequency ratio
becomes slightly smaller with increasing crack relative length because the panel stiffness drops proportional to the crack relative length.
Figure 9a represents the variation in frequency ratio
to the GPL mass fraction
for the FG-O GPLRC cylindrical panel with a central crack. The inclination angle and relative length of a crack are set at
and 0.3. Each nonlinear free vibration analysis for five values of
was completed within five minutes on an Intel Pentium PC with a dual core CPU (1.86 GHz). It is observed that the frequency ratio uniformly increases in proportion to the GPL mass fraction because the mass fraction increase in GPLs with a higher elastic modulus leads to an increase in panel stiffness.
Figure 9b represents the influence of the GPL distribution pattern on the frequency ratio
, for which the GPL mass
was set to 0.4%, while three different GPL distribution patterns were additionally considered. It is found that the magnitude order of frequency ratio
is FG-X, FG-O, FG-U, and FG-Λ. This trend is slightly different from the magnitude order of linear fundamental frequency
given in
Table 3, where FG-O shows the lowest level. In the frequency ratio
, FG-O shows the second highest level, which is caused by the fact that the magnitude of
is not determined by the magnitudes of
and
but the relative value of these two. This trend was also observed from
Figure 8a, where larger inclination crack angles showed lower frequency ratios
even though the linear fundamental frequency was higher at larger inclination crack angles.
Next, the nonlinear free vibration of the cracked cylindrical panel between GPLRC and CNTRC was compared by keeping the material properties of the matrix unchanged. The (10,10) single-walled CNTs [
52] were taken, and their orthotropic material properties are presented in
Table 5. The effective material properties of the CNTRC structures are evaluated as
according to the modified linear rule of mixtures (MLRMs), where the CNT efficiency parameters
are dependent of the CNT total volume fraction
[
53]. Note that LRM accounts only for matrix-fiber deformation but does not consider nonlinearities such as fiber–matrix adhesion that might consume a large chuck of applied energy.
Figure 10a represents the variation in
to the relative central amplitude
of a cracked FG-X cylindrical panel with
and
°, where the angle
° denotes that CNTs are aligned in the direction of cylinder axis. The frequency ratio
shows a noticeable change to the CNT volume fraction
, even though the extent of increase is not so large when compared with that shown in
Figure 9a.
Figure 10b represents the variation for different GPL volume fractions
, where the ratio
and its dependence on
are shown to be smaller than those shown in
Figure 10a. Note, from the relation in Equation (3), that
equals 10.75% of the GPL mass fraction. Therefore, it is found that the dependence of frequency ratio
on
and
becomes insensitive in proportion to the amount of GPLs and CNTs, and this trend is more apparent at CNTRC for the same volume fraction. This is because the nonlinearity intensity becomes saturated as the structural stiffness reaches the critical value owing to the increase in CNTs and GPLs, as will be seen later.
Before the examination of the effect of higher
and
on the variation in
, the fundamental frequencies of GPLRC and CNTRC are compared for the FG-X cylindrical panel with
and
°. From
Table 6, it is found that the first frequencies of GPLRC are much higher than those of CNTRC, implying that GPLRC possesses much higher structural stiffness than CNTRC for the same volume fraction. This is because the material properties of CNTRC are axis-dependent such that the two lateral elastic moduli are much lower than the axial one. It is clearly found that the non-dimensional first frequency of CNTRC becomes higher when the CNTs are aligned in the circumferential direction (i.e.,
).
Figure 11a represents the variation in
with respect to the GPL mass fraction
for different GPL distribution patterns when
is 1.0. It is seen that the frequency ratio
becomes saturated such that FG-O and FG-Λ approach the upper bounded value while FG-U and FG-X approach the lower bounded value. Thus, it has been justified that the nonlinearity intensity in the free vibration becomes insensitive to
and
when the amount of GPLs and CNTs reaches a critical value.
Figure 11b represents the variation in
to the CNT volume fraction when CNTs are aligned in the circumferential direction. The relative order in the magnitude of
is the same as that of
°, shown in
Figure 10a, but the magnitude of
and its sensitivity to
are shown to be relatively larger than those of CNTRC with
°. It is noticed that the
of
is smaller than the
of
regardless of the CNT alignment angle. It is of course attributed to the fact that both the
and
of
are larger those of
but their relative ratio can be smaller than that of
.
Next, the influence of porosity on the nonlinear free vibration of a cracked FG-GPLRC cylindrical panel was investigated. The mass fraction and distribution pattern are 0.4% and FG-U, and the inclination angle and relative length of the crack are °. Three different porosity distributions and the five porosity parameters were considered.
Figure 12a comparatively represents the frequency ratios
of an FG-U GPLRC cylindrical panel with the center-biased porosity distribution (PD_1). It is observed that the frequency ratio becomes uniformly smaller with the increase in
until
, but thereafter, it uniformly increases in proportion to
. However, the extent of decrease becomes smaller as the porosity parameter
increases. Both
and
decrease proportionally to
because the increase in porosity decreases the structural stiffness [
54]. But, the frequency ratio
may increase with increasing
because the denominator
decreases in proportion to
.
Figure 12b compares the plots of
for three different porosity distributions, where the center-biased distribution (PD_1) shows the highest level while the outer-biased distribution (PD_2) leads to the lowest level. This is because the structural stiffness increases as the porosity becomes biased towards the mid-surface of panel for the same amount of porosity. However, the relative difference in
among the three porosity distributions becomes different when the GPL distribution pattern is changed, as will be seen next.
Figure 13a–d comparatively represent the differences in
between three porosity distributions for FG-U, G-O, FG-X, and FG-∧. First of all, it is clearly observed that the relative order and difference in the three plots of
are remarkably influenced by the GPL distribution pattern. In FG-O, shown in
Figure 13b, the center-biased PD_1 shows the lowest level because the middle region with a high density of GPLs is mostly occupied with pores. On the other hand, the outer-biased PD_2 shows the highest level because most pores are concentrated in the top and bottom regions with a low density of GPLs. In FG-X, shown in
Figure 13c, the difference between three porosity distributions is negligible. It is because the relative increase in
with respect to
is almost similar for the three porosity distributions as the amplitude–thickness ratio
increases. Meanwhile, in FG-∧, shown in
Figure 13d, the three porosity distributions show noticeable difference because the GPLs are concentrated only in the bottom region, differing from FG-X. Thus, it is found that the combination of GPL and porosity distributions leads to more diverse variations in the nonlinear-to-linear frequency ratio.